p-Index From 2021 - 2026
13.106
P-Index
This Author published in this journals
All Journal Jurnal Manajemen Terapan dan Keuangan Jurnal Ilmu Dasar Jurnal Sains Materi Indonesia Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Scientiae Educatia: Jurnal Pendidikan Sains Jurnal EMT KITA Al-Mashlahah: Jurnal Hukum Islam dan Pranata Sosial EKONOMIS : Journal of Economics and Business Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Ganaya: Jurnal Ilmu Sosial dan Humaniora Edukasi Islami: Jurnal Pendidikan Islam Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Jurnal Biolokus: Jurnal Penelitian Pendidikan Biologi dan Biologi INTECOMS: Journal of Information Technology and Computer Science SEIKO : Journal of Management & Business Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Jurnal Sosial Humaniora Nusantara Journal of Information and Library Studies (N-JILS) Ultima Management : Jurnal Ilmu Manajemen Aptisi Transactions on Technopreneurship (ATT) Jurnal Geologi Kelautan: Media Hasil Penelitian Geologi Kelautan Al-Qalam Jurnal Studi Guru dan Pembelajaran Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Jurnal Eduscience (JES) Revitalisasi : Jurnal Ilmu Manajemen Jurnal Sains dan Teknologi INTEGRITAS : Jurnal Pengabdian Kasaba: Jurnal Ekonomi Islam RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL Journal of Energy and Electrical Engineering (JEEE) BERNAS: Jurnal Pengabdian Kepada Masyarakat Akrab Juara : Jurnal Ilmu-ilmu Sosial STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE JTEIN: Jurnal Teknik Elektro Indonesia Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) An-Nidhom : Jurnal Manajemen Pendidikan Islam Jurnal Listrik, Instrumentasi, dan Elektronika Terapan International Journal of Economy, Education and Entrepreneurship (IJE3) Indonesian Journal of Economy, Business, Entrepreneuship and Finance (IJEBEF) International Journal of Engagement and Empowerment (IJE2) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan IJCR (Indonesian Journal of Chemical Research) Cakrawala: Jurnal Pendidikan Indonesian Journal of Multidisciplinary Science International Journal of Multidisciplinary Research and Literature (IJOMRAL) Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside Bussman Journal : Indonesian Journal of Business and Management Jurnal Manajemen, Akuntansi, Ekonomi Jurnal Keperawatan 'Aisyiyah Fuse-teknik Elektro DIKTUM: JURNAL SYARIAH DAN HUKUM Innovative: Journal Of Social Science Research Research Horizon Molekul: Jurnal Ilmiah Kimia Melior : Jurnal Riset Pendidikan dan Pembelajaran Indonesia Jurnal As-Syar’i: Jurnal Bimbingan & Konseling Keluarga Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ekonomi, Akuntansi dan Perpajakan Jurnal Sains Materi Indonesia Jurnal Pengabdian Siliwangi Bina Bangsa International Journal of Business and Management International Journal of Applied Mathematics and Computing. International Journal of Information Engineering and Science Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial AJCD Al-Infaq : Jurnal Ekonomi Islam Mizan: Journal of Islamic Law Journal of Engineering, Electrical and Informatics Scientiae Educatia: Jurnal Pendidikan Sains
Claim Missing Document
Check
Articles

Implementation of the YOLO Algorithm for Detecting Bullying Behavior at Pesantren Bisnis SMK Skill Village Islamic School Jonggol Bogor Sutisna Sutisna; Rizki Ananda Pratama; Nandang Sutisna; Jundi Kariman Husni
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.346

Abstract

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.
Effectiveness of Face Recognition-Based Security System on CCTV with Raspberry Pi and Esp32-Cam Using Face Recognition Method Frencis Matheos Sarimole; Satria Wira Yudha; Sutisna Sutisna; Ahas Eko Septianto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 2 (2022): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i2.205

Abstract

Current technological advances, such as the internet of things (IOT), have a very broad scope. Especially in the security sector. The fact is that there are many robots that have been made by humans to do jobs that can help humans beyond their abilities. CCTV is very important to protect the house from various types of threats, such as burglary and other hazards. However, a security system that only uses CCTV cameras is no longer secure enough because someone is needed to monitor activities in the CCTV area for 24 hours. As for CCTV that provides facial recognition features, the price is arguably quite expensive. Therefore, we need home security with a more modern, affordable, and effective version of CCTV that utilizes the technology that has been developed to date. In this context, I propose a prototype of a sophisticated, low-cost, Raspberry-PI-based home security system that is integrated with a mobile real-time application. This intelligent robot can monitor the surrounding area by detecting people who are within the range of the camera. notification if a stranger enters the area and is not recognized by the robot to a mobile application that can be installed. The author uses Raspberry Pi hardware as the main control center, OpenCV to perform motion detection and facial recognition, a webserver to make it easier for users to access data and control the system remotely, mobile applications as notification recipients, and real-time monitoring of CCTV. In the tests carried out, the developed IOT-based security system has succeeded in detecting motion and facial recognition with good accuracy and is able to send notifications to smart phones in a short time when suspicious events occur in the house. Thus, this IOT-based home security system can help improve security and comfort by integrating technology and providing more effective and efficient solutions for protecting homes and buildings from various types of threats
Classification of Favorite Book Borrowing Data at the STIKOM CKI Library Using the Decision Tree Algorithm Yuma Akbar; Untung Surapati; Sutisna Sutisna; Yansen Yansen
Journal of Engineering, Electrical and Informatics Vol. 2 No. 1 (2022): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i1.3663

Abstract

The library on the STIKOM CKI campus as a means of providing information and has a complete collection of learning media books, but the data processing system for borrowing and returning favorite books in the library is currently still manual, that is, all data collection processes are written on book cards, although it is quite good but the process is rather slow and requires quite a long time because in the process of searching the data must be checked per page one by one so that the data processing is less effective and efficient. To overcome this, it is necessary to develop an application using the decision tree algorithm method which can make it easier to collect borrowing data and return favorite books that are more effective and efficient and display integrated output of student reports that have not returned so that data processing is more accurate and can speed up officer performance. library. Submitting a favorite book lending classification application can make it easier to access loans and returns anywhere and anytime. So that data processing is more accurate and can speed up librarian performance.
Application of Data Mining for Talent Performance Analysis Using The C.45 Method In A Case Study of The Human Resource Department of PT. Xyz Sutisna Sutisna; Tri Wahyudi; Dedi Gunawan; Ivan Pradana
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.3710

Abstract

Human resource management plays a critical role in supporting organizational performance, particularly in identifying employees with high competency and leadership potential. The process of evaluating employee performance is often conducted manually, which may lead to subjectivity and inconsistencies in decision-making. This study aims to implement the C4.5 decision tree algorithm for talent performance analysis within the Human Resource Department of PT. XYZ. The research utilized employee performance data collected during the 2022–2023 period, including variables such as attendance, achievement, assessment results, service period, and other competency-related indicators. The study adopted the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, consisting of business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. The C4.5 algorithm was employed to classify employee competencies and generate decision rules based on entropy and information gain calculations. The results indicate that the algorithm successfully identified the most influential attributes affecting employee performance classification, with achievement, assessment, and service period emerging as key determinants. The resulting decision tree provides a systematic and interpretable classification model that supports objective employee evaluation and talent identification. The study demonstrates that the application of data mining techniques can assist organizations in improving the effectiveness of employee performance assessment and human resource decision-making processes.
Implementation of an RFID Card Based Automatic Door Lock System Using NodeMCU with Integration of Telegram Notifications and IoT Services Frencis Matheos Sarimole; Satria Wira Yudha; Sutisna Sutisna; Roid Adip Akmal
International Journal of Applied Mathematics and Computing Vol. 2 No. 4 (2025): October : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i4.126

Abstract

In the digital era, the demand for practical and efficient security systems has significantly increased, particularly in the context of access control for restricted rooms or buildings. This research aims to develop an automatic door locking system utilizing an RFID card and a NodeMCU ESP32 microcontroller integrated with Internet of Things (IoT) technology through real-time notifications using the Telegram application. The system is designed to replace conventional locking methods that often present various weaknesses, such as key loss, physical duplication, and lack of remote access capabilities. The development method employed is the Research and Development (R&D) approach, consisting of needs analysis, system design, hardware and software implementation, followed by testing and evaluation. The main components used in the system include the RC522 RFID reader for user identification, Espressif manufactures the ESP-32 microcontroller, which is equipped with Wi-Fi and Bluetooth modules to enable wireless internet connections. NodeMCU ESP32 as the control center and internet connector, a relay module as an electronic switch, and a solenoid door lock as the actuator. The results show that the system is capable of accurately reading RFID card UIDs, granting access to registered cards, activating the solenoid to unlock the door, and sending access status notifications to Telegram in an average of less than three seconds. The system also effectively denies access to unregistered cards and sends warning messages accordingly. Therefore, this system enhances the security and efficiency of room access control and has the potential to be adopted as a prototype solution in the development of smart homes or modern access control systems.
Pengaruh Kebijakan Harga Gabah Pemerintah dan Permainan Harga Tengkulak terhadap Kesejahteraan Petani Ditinjau Perspektif Ekonomi Syariah : Studi Kasus di Desa Mekarjaya, Kec. Panimbang Sutisna Sutisna; Sanusi Sanusi; Siti Yumsinah
Jurnal Ekonomi, Akuntansi, dan Perpajakan Vol. 3 No. 3 (2026): Agustus : Jurnal Ekonomi, Akuntansi, dan Perpajakan (JEAP)
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jeap.v3i3.2478

Abstract

Indonesia is an agrarian country where a large proportion of the population depends on the agricultural sector, particularly rice farming. To improve farmers’ welfare, the government has established the Government Purchase Price (HPP) as a reference for rice paddy prices. However, its implementation still faces challenges due to price manipulation by middlemen, which often causes farmers to receive prices below the established threshold. This study aims to analyze the effects of the government’s rice paddy pricing policy and middlemen’s price manipulation on farmers’ welfare in Mekarjaya Village, Panimbang District, as well as examine these practices from an Islamic economic perspective. This study employed a mixed-methods approach with a sequential explanatory design. Quantitative data were collected through questionnaires from 97 respondents, while qualitative data were obtained through interviews and observations. Data were analyzed using multiple linear regression, t-test, F-test, correlation analysis, and the coefficient of determination. The results show that the government’s rice paddy pricing policy (X₁) has no significant effect on farmers’ welfare (t = 1.215; Sig. = 0.228 > 0.05). In contrast, middlemen’s price manipulation (X₂) has a significant effect on farmers’ welfare (t = –3.876; Sig. = 0.000 < 0.05). From an Islamic economic perspective, the government’s pricing policy is consistent with the principles of justice and public benefit, whereas middlemen’s price manipulation contains elements of gharar and zulm that disadvantage farmers.
Co-Authors Abdillah, Gipari Pradina Abdul Chobir Adicandra, M. Dicky Adnan, Kemal Afifah, Hafshah Nur Agustian, Doni Ahas Eko Septianto Ahmad Mulyadi Kosim Akbar, Yuma Al Islam, Hanif Mufti Ali Akbar Allwar Allwar Amrullah, Wahyu Anak Agung Istri Sri Wiadnyani Anas, Sahrun Anda Juanda Anggraeni, Dwi Retno Annisa, Annisa Destiana Anto Purwanto Ari Handayani Arinal, Veri Aripin Aripin Aryanto, Rudi Asep Andang, Asep Asep Mulyana Asih Handayanti Azizah, Faridah Nafa Bachrudin Bachrudin, Bachrudin BAHITS, ABDUL Betty Yel, Mesra Bowo Eko Cahyono Busaeri, Nundang Dadang Iskandar Mulyana` Dalillah, Assyifa Dani Ahmad Ramdani Dayan Hakim Natigor Dedi Gunawan Dempo, Sri Rahayu Sangra Deni Hamdani Deny Saputra Dini Afriani Dodie Tricahyono Dwi Swasono Rachmad Dwiarso Rubiyanto Edvin Priatna Edy Wibowo Egi Arvian Firmansyah Eka Fitriah Empung Empung Endah Djuwendah Endang Sri Utami, Endang Evan Edo Prasetya Fachrur Rozi Fachry Abda El Rahman Fadiliah, M. Ilyan Fajar, Andriyana Fallah, Ahlan Nur Faridah, Linda Febiantoro, Muhamad Rony firmansyah maualana sugiartana nursuwars Fitriyah, Nusaibah Hambari, Hambari Hamidah . Hanif, Ibrahim Hasim As'ari Hazazi, Muhammad Hafizhuddin Hazbullah, Rifaldi Herawati, Upi Hidayat, Selamet Hilman Hakiem Hofi, Abdul I Komang Wahyu Wiguna Ibdalsyah Ibdalsyah Ida Ayu Putu Sri Widnyani Ifkar Usrah Ikhwan Hamdani Indriya, Indriya Irfan Firdaus, Irfan Firdaus Istiqlal, Muhammad Farisha Ivan Pradana Jaka Wijaya Kusuma Jundi Kariman Husni Juwita Juwita, Juwita Kholil, Moh. Laksana, Angga Lutfi Rohman Malik, Ibnu Mamay Komarudin Maulana, Rija Rizqi miftahul khairani Milah, Milah Miransyah, Giri Gintang Mochamad Saefullah, Mochamad Muchtar, Nouval Hidayat Muhammad Zikri Muhyani, Muhyani Mukhammad Fauzi Mukhtar Mukhtar Mulyadi Mulyadi Muttaqina, Hikmah Mi’raj Nana, Nana nanda, afri Nandang Sutisna Nauval, Kurniawan Irfan Nawawi, Kholil Nawawi, M. Kholil Nawawi, Muhammad Kholil Neni Yulianita Nindha Ayu Berlianti Nopiansyah, Eko Novita Andarini Nugraha, Asep Tri Mulyana Nugroho, Tulus Setyo Nundang Busaeri Nunung Ayu Sofiati (Efi) NUR KHOLIFAH Nur Mala Hayati Nur Widiyasono, Nur Nurul Hiron Nurul Hiron, Nurul Otniel, Fredo Pangestu, Hadi Baku Permana, Muhammad Alwi Permana, Rizki Aditya Prinantin Saputra, Dimas Purbayu, Faisal Purnama, Anggit Purtiningtyas, Lilis Rahmaddeni Rahmaddeni Rahman, Sulaeman Rahmayanti Kiram Ramdani, Dani Ahmad Rara Genta Munggarani Basri Rasiban Ratih, Nala Ratna Safitri Rendy, Pras Rhini Fatmasari, Rhini Rinaldi Rinaldi Risnandar, Muhammad Aris Rizki Ananda Pratama Roid Adip Akmal Rossa, Annisa Destiana Rully Setiawan Rustandi, Tata Saifullah, Firman Sanjaya, Ikhwan Muliana SANUSI SANUSI Sanusi, Muhammad Samsul Hidayatullah Sari, Gema Ika Sarimole, Frencis Matheos Saryati Saryati Satria Wira Yudha Sayani, Ayi Abdurahman Shafira Zahra Nur Ghifari Sholichah, Inti Ulfi Simanungkalit, Giraldi Freddy Siti Mardiah, Siti Siti Suprapti Siti Yumsinah Slamet Suyanto Soni Sisbudi Harsono, Soni Sisbudi SOPAN ADRIANTO Sri Nurul Milla Sudarmadi Sudarmadi SUDARYANTO SUDARYANTO Sugiyono Sugiyono Sujito Sujito Sulaeman Rahman Nidar Sulaiman, Dede Sumardjo suryana, Dede Suryana, Dede Suseno, Bambang Dwi Suwardiyanto Suyud, Suyud Syahroni, Mukhamad Faizal Syahrul, Ramadhan Syamsul Hidayat Syarifah Gustiawati Mukri Tanti Haryati Tri Wahyudi Umalihayati Umalihayati Untung Surapati Wa Ode Zusnita, Wa Ode wahyu, haditya Wahyudi, Ahmad Arif Wenny Maulina Widiasih, Widiasih Wijayanti, Intan Dwi Yansen Yansen Yono Yono Yoyo Sudaryo Yudi Aris Sulisitiyo Yulistia, Zahrah Nazhifah Yuniar, Mirsandi Nazar Yunizar Yunizar, Yunizar YUYUN ELIZABETH PATRAS, YUYUN ELIZABETH Zahid Mubarok Zakaria, Helmy Ahmad